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Ekata

Creating a Better Customer Experience with Probabilistic Data

Ekata offers what is called a probabilistic approach to risk with identity verification. This is different from traditional methods, which are more deterministic. The advantage to using a probabilistic solution is of scale, speed, and cost. Deterministic risk approaches are not only costly, but can result in poor customer experiences and business outcomes. So what […]

9.23.2021

Ekata

Increase Thin-File Customer Acquisition Rate with Account Opening API 1.1

Customers have hundreds of choices for their banking needs — and once they choose, they aren’t likely to switch. This makes capturing customers early key to achieving revenue goals. An increasing population of thin-file customers (someone with little or no credit history) is entering the market: more than 50% of digital account applicants are 35 or […]

9.20.2021

Ekata

What Is a Standard Data Evaluation?

As one of our primary job functions, the Field Data Science (FDS) team works with our sales team and potential customers to assess the best way to prove the value of using Ekata in their production workflow through a standard data evaluation. One of the ways to show this value is through an offline historical […]

8.24.2021

Ekata

Understanding the Science Inside the Ekata Identity Engine

Every time I make a purchase online, I often wonder how the retailer knows if I’m a real customer or a fraudster. Turns out that I’m not the only one as, according to Juniper Research, online merchants are predicted to lose $130 billion to online payment fraud between 2018 and 2023. Fraudsters constantly adapt their […]

8.17.2021

Ekata

Fraudsters Are Overtaking Your Verification Methods

Many websites depend on one-time password (OTP) verification to fight fraud and ensure contactability in their account sign-up workflows. More sophisticated platforms may use static metadata about phones, such as line type, to block bad actors. Fraudsters have found new ways to acquire more standard phone numbers where static information looks like a real phone […]

7.13.2021

Ekata

Using Machine Learning for Rule Building

Many of our customers use rules in their fraud workflows to identify good and bad actors. These rules, which are combinations of conditional statements that operate as data filters, can be very effective, but formulating “the right rule” can be difficult. That’s where the Ekata Field Data Science (FDS) team comes in to help customers […]

7.1.2021

Ekata

Fraud in the Buy Now Pay Later Industry

Buy Now, Pay Later (BNPL) is not a new idea, but with the boom in e-commerce during the Covid-19 pandemic, BNPL has exploded onto the payments scene as a major industry. The idea is essentially a simplification of the credit process by providing ‘instant credit’ at the point of sale. This means that when the […]

6.24.2021

Ekata

Digital Account Opening is Where the Competition Starts

Original authors are Trenton Spratling, Global Account Director at Ekata, and Wendy Hokanson, Global Head of the Financial Services Market Segment at Ekata Looking back in the last year, there were definitely a lot of changes that were attributed to the pandemic. Yes, the pandemic may have accelerated certain industries and certain behaviors but that […]

6.17.2021

Ekata

What are Field Data Scientists?

Ekata’s team of field data scientists (FDS) helps customers return the best possible value from our solutions. Customers meet a member of the FDS team at multiple points during the sales cycle and that relationship continues throughout their account lifecycle at Ekata. So who are we? We’re a globally distributed team with people in Seattle, […]

6.15.2021